Deepgram · Arazzo Workflow
Deepgram Transcribe Audio and Track Usage
Version 1.0.0
Transcribe a pre-recorded audio URL and then reconcile the request against project usage and request logs.
View Spec
View on GitHub
Artificial IntelligenceSpeech-to-TextText-to-SpeechTranscriptionVoice AIArazzoWorkflows
Provider
Workflows
transcribe-and-track-usage
Transcribe an audio URL then reconcile it against project usage and requests.
Transcribes a hosted audio file, then retrieves the project usage summary and the recent request log for the time window so the transcription can be audited against billing data.
1
transcribeAudio
Submit the hosted audio URL for transcription with punctuation and smart formatting enabled, capturing the request identifier from the metadata.
2
getUsage
Retrieve the aggregated usage summary for the project over the supplied time window to confirm the audio hours were recorded.
3
listRequests
List the project's recent API requests for the same window so the transcription request_id can be located in the audit log.
Source API Descriptions
openapi
Arazzo Workflow Specification
Work with this as data
Every workflow here is available over the APIs.io API and to AI agents over MCP.